Spaces:
Running
on
Zero
Running
on
Zero
Round Error Solved
Browse files
app.py
CHANGED
@@ -26,7 +26,7 @@ torch.cuda.empty_cache()
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def generate_image(prompt, seed=42, width=DEFAULT_WIDTH, height=DEFAULT_HEIGHT, randomize_seed=False, num_inference_steps=2, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator().manual_seed(seed)
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start_time = time.time()
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@@ -78,7 +78,7 @@ with gr.Blocks() as demo:
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realtime = gr.Checkbox(label="Realtime Toggler", info="If TRUE then uses more GPU but create image in realtime.", value=False)
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latency = gr.Text(label="Latency")
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with gr.Row():
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seed = gr.Number(label="Seed", value=42
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=False)
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with gr.Row():
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width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=DEFAULT_WIDTH)
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def generate_image(prompt, seed=42, width=DEFAULT_WIDTH, height=DEFAULT_HEIGHT, randomize_seed=False, num_inference_steps=2, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator().manual_seed(int(float(seed)))
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start_time = time.time()
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realtime = gr.Checkbox(label="Realtime Toggler", info="If TRUE then uses more GPU but create image in realtime.", value=False)
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latency = gr.Text(label="Latency")
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with gr.Row():
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seed = gr.Number(label="Seed", value=42)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=False)
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with gr.Row():
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width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=DEFAULT_WIDTH)
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